Managed Security Services (MSS)
AI Activity & Data Leak Monitoring
Claude, ChatGPT, Gemini, Copilot - your people are already using AI, whether IT approved it or not. We monitor AI activity across every provider your organization touches: what's pasted into prompts, what files get uploaded, what AI agents do with your data - integrated with your existing SIEM, DLP, identity and eDiscovery stack, so a data leak through an AI tool gets caught like any other security incident instead of discovered after the fact.
Typical timeline
Ongoing
Engagement model
Co-managed or fully managed
How it runs
Onboard → monitor → respond → improve
Overview
Generative AI tools are now a standard part of research, software development, document processing and customer support - and every one of those workflows is a potential channel for sensitive data to leave the building. Enterprise AI providers are starting to expose compliance APIs (like Claude's) that give security teams visibility into that activity, but most organizations have no process to actually use them, and no visibility at all into the AI tools their people use without IT's knowledge.
We stand up and manage that visibility: integrating every AI provider your organization actually touches into your existing SIEM, DLP, identity and eDiscovery workflows, so AI-driven data exposure is caught the same way any other security incident would be.
At a glance
- Visibility into employee and AI-agent activity across every AI provider in use - sanctioned and shadow
- Real-time detection of sensitive-data exposure in prompts, uploads and AI-agent tool calls
- Policy enforcement against confidential data being fed into third-party model training
- Integration with your existing SIEM, DLP, identity and eDiscovery workflows
Coverage
What we cover
Cross-Provider AI Visibility
Monitor Claude, ChatGPT, Gemini, Copilot and other AI tools your teams actually use - sanctioned and shadow.
Sensitive-Data Leak Detection
Flag confidential data, credentials and regulated information pasted into prompts, files or AI-agent tool calls.
Training-Data Exposure Prevention
Enforce provider data-use/training opt-outs and alert on data that risks being fed into third-party model training.
Shadow AI Discovery
Identify unsanctioned AI tools and browser extensions in use across the organization.
SIEM, DLP & eDiscovery Integration
Feed AI activity into your existing SIEM, DLP, identity and eDiscovery workflows instead of a siloed AI dashboard.
Outcomes
What you get
Methodology
How the engagement runs
Discover
Inventory which AI tools and providers are actually in use - sanctioned and shadow.
Integrate
Connect AI usage telemetry (Claude Compliance API, enterprise ChatGPT/Gemini/Copilot admin logs) into your SIEM and DLP.
Monitor
24/7 monitoring for sensitive-data exposure, policy violations and anomalous AI-agent behavior.
Respond
Alerting, incident response and policy tuning when a violation is detected.
Deliverables
What lands in your inbox
- AI usage visibility dashboard
- SIEM/DLP integration
- Data-leak and policy-violation alerting
- Monthly AI risk posture report
Why A5
Why teams pick us
Detections that matter
High-fidelity, ATT&CK-mapped rules tuned to cut alert fatigue - signal over noise.
Humans in the loop
Real analysts triage, hunt and respond - not just an automated dashboard.
Built for Indian regulators
Coverage aligned to SEBI CSCRF M-SOC, RBI and CERT-In reporting timelines.
Transparent by default
You see what we see - live posture, incidents and trends, every month.
FAQ
Frequently asked
Do you only monitor Claude?
No - Claude is one of several integrations. We monitor activity across whichever AI providers your organization actually uses, including Claude, ChatGPT Enterprise, Gemini and Microsoft Copilot, through each provider's enterprise admin/compliance APIs.
Can this stop our data from training someone else's model?
We help you configure and enforce each provider's data-use and training opt-out settings, and monitor for violations - the opt-out itself is set by the AI provider, but we catch sensitive data leaving through prompts and uploads before it becomes a training-data or compliance problem.
How is this different from your AI/LLM Security Testing service?
AI/LLM Security Testing is a point-in-time offensive assessment of AI apps you build. This is ongoing managed monitoring of how your organization uses AI tools day to day - the two pair well together.
Related services
Offensive Security & VAPT
Our specializationAI / LLM Security Testing
Our specialization: prompt injection, jailbreaks, agentic AI abuse and LLM supply-chain testing (OWASP LLM Top 10 / MITRE ATLAS).
Managed Security Services (MSS)
Managed Security Services
24/7 monitoring, continuous vulnerability management and incident response as a service.
Managed Security Services (MSS)
MDR & Managed SOC
24/7 managed detection & response and SOC-as-a-service with alert triage, hunting and response.
Need ai activity & data leak monitoring?
Prove both before launch.
Bring us your app, audit deadline, or security concern. We'll map the fastest path to WCAG conformance, VAPT coverage, and regulator-ready evidence.
